{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/mi_10.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}24 Aug 2020, 03:56:26
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_raw.dta", clear
. {c )-}
{txt}
{com}. 
. if ("`model'" == "mi") {c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_imputed_M10.dta", clear  
. {c )-}
{txt}
{com}. 
. * for now, we use the following simple survey weights 
. if ("`model'" == "mi") {c -(}
.         mi svyset `geo_type' [pw=ObsWgt0] 
{res}
      {txt}pweight:{col 16}{res}ObsWgt0
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}{res}county
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}
{res}{com}. {c )-}
{txt}
{com}. else {c -(}
.         svyset `geo_type' [pw=ObsWgt0]  
. {c )-}
{txt}
{com}. 
. * margins for each category
. program margin_interact 
{txt}  1{com}.         args X Y k model
{txt}  2{com}.         sum `X', d 
{txt}  3{com}.         local gap = (`r(max)' - `r(min)') / `k' 
{txt}  4{com}.         if ("`model'" == "logit") {c -(}
{txt}  5{com}.                 margin `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  6{com}.         {c )-} 
{txt}  7{com}.         else if ("`model'" == "mi") {c -(}
{txt}  8{com}.                 mimrgns `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  9{com}.         {c )-}       
{txt} 10{com}. end 
{txt}
{com}. 
. program mchange_mi
{txt}  1{com}.         args X k model
{txt}  2{com}.         if ("`model'" == "logit") {c -(}
{txt}  3{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt}  4{com}.                         sum `X' if e(sample), d 
{txt}  5{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt}  6{com}.                         mlincom  2 - 1, decimal(7) stat(all)    
{txt}  7{com}.                 {c )-} 
{txt}  8{com}.                 else if ("`k'" == "binary") {c -(}
{txt}  9{com}.                         sum `X' if e(sample), d 
{txt} 10{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 11{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 12{com}.                 {c )-} 
{txt} 13{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 14{com}.                         margin `X' if e(sample)==1 , at() pwcompare predict(pr) 
{txt} 15{com}.                 {c )-}
{txt} 16{com}.         {c )-}
{txt} 17{com}. 
.         else if ("`model'" == "mi") {c -(}
{txt} 18{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt} 19{com}.                         sum `X' , d 
{txt} 20{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 21{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 22{com}.                 {c )-} 
{txt} 23{com}.                 else if ("`k'" == "binary") {c -(}
{txt} 24{com}.                         sum `X' , d 
{txt} 25{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 26{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 27{com}.                 {c )-} 
{txt} 28{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 29{com}.                         mimrgns `X' , at()   pwcompare predict(pr)      
{txt} 30{com}.                 {c )-}
{txt} 31{com}.         {c )-}
{txt} 32{com}. end
{txt}
{com}. 
. * create some dummy codings
. tab Race5, gen(race5_nh)

      {txt}Race5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}107,831,845       79.53       79.53
{txt}          2 {c |}{res} 14,631,144       10.79       90.32
{txt}          3 {c |}{res}  2,867,304        2.11       92.44
{txt}          4 {c |}{res}  2,753,311        2.03       94.47
{txt}          5 {c |}{res}  7,499,129        5.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,733      100.00
{txt}
{com}.         rename race5_nh1 White_nh 
{res}{txt}
{com}.         rename race5_nh2 Black_nh 
{res}{txt}
{com}.         rename race5_nh3 AIAN_nh 
{res}{txt}
{com}.         rename race5_nh4 AsPI_nh 
{res}{txt}
{com}.         rename race5_nh5 Hispanic
{res}{txt}
{com}. 
. tab MarStat5, gen(ms)

   {txt}MarStat5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res} 75,689,936       55.83       55.83
{txt}          2 {c |}{res} 10,166,664        7.50       63.32
{txt}          3 {c |}{res} 13,925,509       10.27       73.60
{txt}          4 {c |}{res}  2,609,308        1.92       75.52
{txt}          5 {c |}{res} 33,190,855       24.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,272      100.00
{txt}
{com}.         rename ms1 Marrd5
{res}{txt}
{com}.         rename ms2 Widow5
{res}{txt}
{com}.         rename ms3 Divor5
{res}{txt}
{com}.         rename ms4 Separ5
{res}{txt}
{com}.         rename ms5 NvMar5
{res}{txt}
{com}. 
. tab AgeGrp4, gen(ag) 

    {txt}AgeGrp4 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res} 21,231,562       15.66       15.66
{txt}          2 {c |}{res} 39,043,312       28.80       44.46
{txt}          3 {c |}{res} 47,351,260       34.92       79.38
{txt}          4 {c |}{res} 27,956,599       20.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,733      100.00
{txt}
{com}.         rename ag1 Age_15_24
{res}{txt}
{com}.         rename ag2 Age_25_44
{res}{txt}
{com}.         rename ag3 Age_45_64
{res}{txt}
{com}.         rename ag4 Age_65_Up
{res}{txt}
{com}. 
. destring St, replace 
{txt}St: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}. 
. * set-up equations
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Cath Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local demographics_raw i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
{txt}
{com}. local demographics_individual i.Female i.AgeGrp4 i.Race5 i.BornUSA i.MarStat5 
{txt}
{com}. local demographics_county c.RAT_Female c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4  c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 c.RAT_BornUSA c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
{txt}
{com}. local demographics_same i.Female c.std_same_prop_Sex i.AgeGrp4 c.std_same_prop_AgeGrp4 i.Race5 c.std_same_prop_Race5 i.BornUSA c.std_same_prop_BornUSA i.MarStat5 c.std_same_prop_MarStat5 
{txt}
{com}. local demographics_inter i.Female##c.std_same_prop_Sex i.AgeGrp4##c.std_same_prop_AgeGrp4 i.Race5##c.std_same_prop_Race5 i.BornUSA##c.std_same_prop_BornUSA i.MarStat5##c.std_same_prop_MarStat5
{txt}
{com}. 
. 
. if (`model_version' == 1){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' 
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 
. {c )-}
{txt}
{com}. if (`model_version' == 2){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' i.UnEmpl c.RAT_UnEmpl i.PhysProb c.RAT_PhysProb
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 3){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' 
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 
. {c )-}
{txt}
{com}. if (`model_version' == 4){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' i.UnEmpl c.std_same_prop_UnEmpl i.PhysProb c.std_same_prop_PhysProb
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 UnEmpl std_same_prop_UnEmpl PhysProb std_same_prop_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 5){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' 
. {c )-}
{txt}
{com}. if (`model_version' == 6){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' i.UnEmpl##c.std_same_prop_UnEmpl i.PhysProb##c.std_same_prop_PhysProb
. {c )-}       
{txt}
{com}. 
. if (`model_version' == 7){c -(}
.         local model_eq i.Year `demographics_individual' `contextual_control' `religion' 
.         local margin_demographics Female AgeGrp4 Race5 BornUSA MarStat5 
. {c )-}
{txt}
{com}. if (`model_version' == 8){c -(}
.         local model_eq i.Year `demographics_county' `contextual_control' `religion' 
.         local margin_demographics RAT_Female RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 RAT_BornUSA RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 
. {c )-}
{txt}
{com}. 
. if (`model_version' == 9){c -(}
.         local model_eq i.Year `demographics_individual' `contextual_control' `religion'  i.UnEmpl i.PhysProb
.         local margin_demographics Female AgeGrp4 Race5 BornUSA MarStat5 UnEmpl PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 10){c -(}
.         local model_eq i.Year `demographics_county' `contextual_control' `religion'  c.RAT_UnEmpl c.RAT_PhysProb
.         local margin_demographics RAT_Female RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 RAT_BornUSA RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 RAT_UnEmpl RAT_PhysProb
. {c )-}
{txt}
{com}. 
. * test how long it would take.
. * mi estimate: svy: mean Suic 
. * local demographics i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
. * mi estimate: svy: logit Suic i.St `demographics' UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. 
. * main effects : margins
. if ("`model'" == "mi"){c -(}
. 
.         mi estimate: svy: logit Suic i.St `model_eq', or 
{res}
{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Survey: Logistic regression{col 47}Number of obs{col 65}= {res}  11,808,026

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}{col 47}        max{col 65}= {res}      915.01
{txt}Model F test:{ralign 16: {res:Equal FMI}}{col 47}F({res}  44{txt},{res}  915.0{txt}){col 65}= {res}       71.36
{txt}Within VCE type: {ralign 12:{res:Linearized}}{col 47}Prob > F{col 65}= {res}      0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        Suic{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}St {c |}
{space 10}8  {c |}{col 14}{res}{space 2} .0534238{col 26}{space 2} .0901626{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.1235258{col 67}{space 3} .2303734
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.5684766{col 26}{space 2}  .086624{col 37}{space 1}   -6.56{col 46}{space 3}0.000{col 54}{space 4}-.7384814{col 67}{space 3}-.3984717
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.6129612{col 26}{space 2} .0919521{col 37}{space 1}   -6.67{col 46}{space 3}0.000{col 54}{space 4}-.7934227{col 67}{space 3}-.4324998
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.4309121{col 26}{space 2} .0942065{col 37}{space 1}   -4.57{col 46}{space 3}0.000{col 54}{space 4}-.6157979{col 67}{space 3}-.2460262
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.8572907{col 26}{space 2} .0899314{col 37}{space 1}   -9.53{col 46}{space 3}0.000{col 54}{space 4}-1.033786{col 67}{space 3} -.680795
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.8943156{col 26}{space 2} .0929195{col 37}{space 1}   -9.62{col 46}{space 3}0.000{col 54}{space 4}-1.076676{col 67}{space 3}-.7119556
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .2812317{col 26}{space 2} .1496842{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0125326{col 67}{space 3}  .574996
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.3435757{col 26}{space 2} .0855724{col 37}{space 1}   -4.02{col 46}{space 3}0.000{col 54}{space 4}-.5115167{col 67}{space 3}-.1756347
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.1875178{col 26}{space 2} .1027962{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-.3892616{col 67}{space 3} .0142259
{txt}{space 9}41  {c |}{col 14}{res}{space 2}  -.36673{col 26}{space 2} .0754988{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4}-.5149009{col 67}{space 3} -.218559
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.6196527{col 26}{space 2} .0884687{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4} -.793278{col 67}{space 3}-.4460275
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.4881956{col 26}{space 2} .1072724{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.6987241{col 67}{space 3}-.2776672
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .6840338{col 26}{space 2} .1510755{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4}  .387539{col 67}{space 3} .9805287
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .024122{col 26}{space 2} .0920614{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4} -.156554{col 67}{space 3}  .204798
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-.4808077{col 26}{space 2} .0867864{col 37}{space 1}   -5.54{col 46}{space 3}0.000{col 54}{space 4}-.6511312{col 67}{space 3}-.3104841
{txt}{space 12} {c |}
{space 8}Year {c |}
{space 7}2006  {c |}{col 14}{res}{space 2}-.0728797{col 26}{space 2} .0205808{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-.1132708{col 67}{space 3}-.0324886
{txt}{space 7}2007  {c |}{col 14}{res}{space 2}-.0007418{col 26}{space 2} .0223296{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4} -.044565{col 67}{space 3} .0430814
{txt}{space 7}2008  {c |}{col 14}{res}{space 2} .0327197{col 26}{space 2} .0254633{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-.0172535{col 67}{space 3} .0826929
{txt}{space 7}2009  {c |}{col 14}{res}{space 2} .0737804{col 26}{space 2}  .025966{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0228205{col 67}{space 3} .1247402
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} .0723746{col 26}{space 2} .0300641{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0133721{col 67}{space 3} .1313771
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .1261991{col 26}{space 2} .0315072{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .0643643{col 67}{space 3}  .188034
{txt}{space 12} {c |}
{space 2}RAT_Female {c |}{col 14}{res}{space 2}-.0168834{col 26}{space 2} .0072167{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-.0310466{col 67}{space 3}-.0027201
{txt}RAT_AgeGrp~2 {c |}{col 14}{res}{space 2} .0013817{col 26}{space 2} .0047384{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0079177{col 67}{space 3} .0106811
{txt}RAT_AgeGrp~3 {c |}{col 14}{res}{space 2}-.0041409{col 26}{space 2} .0052577{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.0144595{col 67}{space 3} .0061776
{txt}RAT_AgeGrp~4 {c |}{col 14}{res}{space 2} .0274577{col 26}{space 2} .0062712{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0151501{col 67}{space 3} .0397654
{txt}{space 1}RAT_Race5_2 {c |}{col 14}{res}{space 2}-.0123876{col 26}{space 2} .0017808{col 37}{space 1}   -6.96{col 46}{space 3}0.000{col 54}{space 4}-.0158825{col 67}{space 3}-.0088927
{txt}{space 1}RAT_Race5_3 {c |}{col 14}{res}{space 2}-.0001656{col 26}{space 2} .0040933{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0081991{col 67}{space 3} .0078678
{txt}{space 1}RAT_Race5_4 {c |}{col 14}{res}{space 2} .0145614{col 26}{space 2} .0061803{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0024323{col 67}{space 3} .0266906
{txt}{space 1}RAT_Race5_5 {c |}{col 14}{res}{space 2}-.0058428{col 26}{space 2} .0032354{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.0121925{col 67}{space 3} .0005068
{txt}{space 1}RAT_BornUSA {c |}{col 14}{res}{space 2} .0102167{col 26}{space 2} .0036206{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4}  .003111{col 67}{space 3} .0173224
{txt}RAT_MarSta~2 {c |}{col 14}{res}{space 2}-.0088168{col 26}{space 2} .0091265{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.0267281{col 67}{space 3} .0090945
{txt}RAT_MarSta~3 {c |}{col 14}{res}{space 2} .0114262{col 26}{space 2} .0055486{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0005367{col 67}{space 3} .0223157
{txt}RAT_MarSta~4 {c |}{col 14}{res}{space 2}-.0179966{col 26}{space 2} .0120009{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4} -.041549{col 67}{space 3} .0055559
{txt}RAT_MarSta~5 {c |}{col 14}{res}{space 2} .0016006{col 26}{space 2} .0034146{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0051007{col 67}{space 3} .0083019
{txt}{space 1}Rat_Poverty {c |}{col 14}{res}{space 2}-.0080942{col 26}{space 2} .0030384{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.0140573{col 67}{space 3}-.0021312
{txt}{space 1}Rat_Mig_Cum {c |}{col 14}{res}{space 2}-.6688965{col 26}{space 2} .6265779{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-1.898593{col 67}{space 3} .5608002
{txt}{space 5}Pop_Den {c |}{col 14}{res}{space 2}-.0000138{col 26}{space 2} 7.38e-06{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.0000283{col 67}{space 3} 7.24e-07
{txt}{space 1}Rat_GC_ProE {c |}{col 14}{res}{space 2}-7.83e-06{col 26}{space 2}  .000012{col 37}{space 1}   -0.65{col 46}{space 3}0.514{col 54}{space 4}-.0000314{col 67}{space 3} .0000157
{txt}{space 1}Rat_GC_ProM {c |}{col 14}{res}{space 2} .0000135{col 26}{space 2} .0000126{col 37}{space 1}    1.07{col 46}{space 3}0.283{col 54}{space 4}-.0000112{col 67}{space 3} .0000382
{txt}{space 1}Rat_GC_ProB {c |}{col 14}{res}{space 2} .0000253{col 26}{space 2} .0000833{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4}-.0001381{col 67}{space 3} .0001888
{txt}{space 2}Rat_GC_Jew {c |}{col 14}{res}{space 2}-.0000732{col 26}{space 2} .0000647{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4}-.0002002{col 67}{space 3} .0000537
{txt}{space 2}Rat_GC_Oth {c |}{col 14}{res}{space 2}-.0000923{col 26}{space 2} .0000242{col 37}{space 1}   -3.81{col 46}{space 3}0.000{col 54}{space 4}-.0001399{col 67}{space 3}-.0000447
{txt}{space 2}RAT_UnEmpl {c |}{col 14}{res}{space 2} .2033924{col 26}{space 2} .0236588{col 37}{space 1}    8.60{col 46}{space 3}0.000{col 54}{space 4} .1569606{col 67}{space 3} .2498241
{txt}RAT_PhysProb {c |}{col 14}{res}{space 2}-.0035583{col 26}{space 2} .0051198{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4}-.0136062{col 67}{space 3} .0064895
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-9.651583{col 26}{space 2} .6581174{col 37}{space 1}  -14.67{col 46}{space 3}0.000{col 54}{space 4}-10.94318{col 67}{space 3}-8.359988
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates store m1 
. 
.         if (`model_version' <= 4 | `model_version' >= 9){c -(}
.                 if (`model_version' != 10){c -(}
.                         estimates restore m1
.                         mchange_mi Female "binary" "mi"
.                         estimates restore m1
.                         mchange_mi AgeGrp4 "categorical" "mi"
.                         estimates restore m1
.                         mchange_mi Race5 "categorical" "mi"
.                         estimates restore m1
.                         mchange_mi BornUSA "binary" "mi"
.                         estimates restore m1
.                         mchange_mi MarStat5 "categorical" "mi"
.                 {c )-}
.                 
.                 if (`model_version' == 1 | `model_version' == 2 | `model_version' == 10) {c -(}
.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_Female "continuous" "mi"

                         {txt}RAT_Female
{hline 61}
      Percentiles      Smallest
 1%    {res} 45.39424       43.22342
{txt} 5%    {res} 48.12819       43.22342
{txt}10%    {res} 49.38633       43.22342       {txt}Obs         {res}135,582,733
{txt}25%    {res} 50.19465       43.22342       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 51.19414                      {txt}Mean          {res} 51.04837
                        {txt}Largest       Std. Dev.     {res} 1.607091
{txt}75%    {res} 52.14429       56.04515
{txt}90%    {res} 52.77465       56.04515       {txt}Variance      {res} 2.582741
{txt}95%    {res} 53.17716       56.04515       {txt}Skewness      {res}-1.062898
{txt}99%    {res}  54.2445       56.04515       {txt}Kurtosis      {res} 5.535048

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_Female}{space 6}{txt:=} {space 3}43.22342}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_Female}{space 6}{txt:=} {space 3}56.04515}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .000153{col 26}{space 2} 8.87e-06{col 37}{space 1}   17.25{col 46}{space 3}0.000{col 54}{space 4} .0001356{col 67}{space 3} .0001704
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001232{col 26}{space 2} 4.48e-06{col 37}{space 1}   27.51{col 46}{space 3}0.000{col 54}{space 4} .0001145{col 67}{space 3}  .000132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000298}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000131}}}{space 1}{space 1}{ralign 8:{res:{sf:-2.3e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0233397}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000555}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000041}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_AgeGrp4_2 "continuous" "mi"

                        {txt}RAT_AgeGrp4_2
{hline 61}
      Percentiles      Smallest
 1%    {res} 24.41741       18.69043
{txt} 5%    {res} 26.25468       18.69043
{txt}10%    {res} 27.48339       18.69043       {txt}Obs         {res}135,582,733
{txt}25%    {res} 29.49091       18.69043       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 32.05476                      {txt}Mean          {res} 32.44892
                        {txt}Largest       Std. Dev.     {res} 4.216616
{txt}75%    {res} 34.66521       51.79797
{txt}90%    {res} 38.41551       51.79797       {txt}Variance      {res} 17.77985
{txt}95%    {res} 40.72519       51.79797       {txt}Skewness      {res} .6572291
{txt}99%    {res} 44.04443       51.79797       {txt}Kurtosis      {res} 3.661787

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_AgeGrp~2}{space 4}{txt:=} {space 3}18.69043}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_AgeGrp~2}{space 4}{txt:=} {space 3}51.79797}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001307{col 26}{space 2} 9.32e-06{col 37}{space 1}   14.02{col 46}{space 3}0.000{col 54}{space 4} .0001124{col 67}{space 3}  .000149
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001368{col 26}{space 2} .0000118{col 37}{space 1}   11.55{col 46}{space 3}0.000{col 54}{space 4} .0001136{col 67}{space 3} .0001601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000061}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000210}}}{space 1}{space 1}{ralign 8:{res:{sf:0.2908976}}}{space 1}{space 1}{ralign 8:{res:{sf:0.7711954}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000352}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000474}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_AgeGrp4_3 "continuous" "mi"

                        {txt}RAT_AgeGrp4_3
{hline 61}
      Percentiles      Smallest
 1%    {res} 23.56008       19.29798
{txt} 5%    {res} 27.30353       19.29798
{txt}10%    {res} 28.88125       19.29798       {txt}Obs         {res}135,582,733
{txt}25%    {res}  30.6143       19.29798       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 32.15104                      {txt}Mean          {res} 32.09528
                        {txt}Largest       Std. Dev.     {res} 2.802824
{txt}75%    {res}   33.866        47.4186
{txt}90%    {res} 35.46149        47.4186       {txt}Variance      {res} 7.855821
{txt}95%    {res}  36.2629        47.4186       {txt}Skewness      {res}-.4997261
{txt}99%    {res}  38.0363        47.4186       {txt}Kurtosis      {res} 4.789628

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_AgeGrp~3}{space 4}{txt:=} {space 3}19.29798}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_AgeGrp~3}{space 4}{txt:=} {space 4}47.4186}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001406{col 26}{space 2} 9.47e-06{col 37}{space 1}   14.85{col 46}{space 3}0.000{col 54}{space 4}  .000122{col 67}{space 3} .0001592
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001252{col 26}{space 2} .0000102{col 37}{space 1}   12.26{col 46}{space 3}0.000{col 54}{space 4} .0001051{col 67}{space 3} .0001452
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000155}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000195}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.7911575}}}{space 1}{space 1}{ralign 8:{res:{sf:0.4290567}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000538}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000229}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_AgeGrp4_4 "continuous" "mi"

                        {txt}RAT_AgeGrp4_4
{hline 61}
      Percentiles      Smallest
 1%    {res} 8.643331       6.363428
{txt} 5%    {res} 10.62395       6.363428
{txt}10%    {res} 12.01889       6.363428       {txt}Obs         {res}135,582,733
{txt}25%    {res} 15.03323       6.363428       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res}   17.501                      {txt}Mean          {res}   17.318
                        {txt}Largest       Std. Dev.     {res} 3.740434
{txt}75%    {res} 20.01174       29.62251
{txt}90%    {res} 21.92176       29.62251       {txt}Variance      {res} 13.99085
{txt}95%    {res} 22.92662       29.62251       {txt}Skewness      {res}-.1965066
{txt}99%    {res} 25.70682       29.62251       {txt}Kurtosis      {res} 2.852231

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_AgeGrp~4}{space 4}{txt:=} {space 3}6.363428}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_AgeGrp~4}{space 4}{txt:=} {space 3}29.62251}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001024{col 26}{space 2} 6.11e-06{col 37}{space 1}   16.75{col 46}{space 3}0.000{col 54}{space 4} .0000904{col 67}{space 3} .0001144
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .000194{col 26}{space 2} .0000169{col 37}{space 1}   11.45{col 46}{space 3}0.000{col 54}{space 4} .0001607{col 67}{space 3} .0002272
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000915}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000229}}}{space 1}{space 1}{ralign 8:{res:{sf: 4.0e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000693}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000466}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0001365}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_Race5_2 "continuous" "mi"

                         {txt}RAT_Race5_2
{hline 61}
      Percentiles      Smallest
 1%    {res} .0990109              0
{txt} 5%    {res} .3381911              0
{txt}10%    {res} .6039064              0       {txt}Obs         {res}135,582,733
{txt}25%    {res}  1.59464              0       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res}   5.7945                      {txt}Mean          {res} 12.30798
                        {txt}Largest       Std. Dev.     {res} 14.12576
{txt}75%    {res} 20.08249       65.45666
{txt}90%    {res} 33.72202       65.45666       {txt}Variance      {res}  199.537
{txt}95%    {res} 42.64764       65.45666       {txt}Skewness      {res} 1.379799
{txt}99%    {res} 56.82112       65.45666       {txt}Kurtosis      {res} 4.208692

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_Race5_2}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_Race5_2}{space 5}{txt:=} {space 3}65.45666}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001586{col 26}{space 2} 4.41e-06{col 37}{space 1}   35.92{col 46}{space 3}0.000{col 54}{space 4} .0001499{col 67}{space 3} .0001672
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0000705{col 26}{space 2} 6.41e-06{col 37}{space 1}   11.00{col 46}{space 3}0.000{col 54}{space 4} .0000579{col 67}{space 3} .0000831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000881}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000106}}}{space 1}{space 1}{ralign 8:{res:{sf:-8.3e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000000}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0001088}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000674}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_Race5_3 "continuous" "mi"

                         {txt}RAT_Race5_3
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} .0018458              0
{txt}10%    {res} .0539814              0       {txt}Obs         {res}135,582,733
{txt}25%    {res} .1379112              0       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} .3117765                      {txt}Mean          {res} 1.842507
                        {txt}Largest       Std. Dev.     {res} 5.832106
{txt}75%    {res} 1.009428       64.16144
{txt}90%    {res} 4.032134       64.16144       {txt}Variance      {res} 34.01346
{txt}95%    {res} 7.956508       64.16144       {txt}Skewness      {res} 7.046266
{txt}99%    {res} 48.06156       64.16144       {txt}Kurtosis      {res} 58.98451

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_Race5_3}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_Race5_3}{space 5}{txt:=} {space 3}64.16144}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001335{col 26}{space 2} 1.36e-06{col 37}{space 1}   98.05{col 46}{space 3}0.000{col 54}{space 4} .0001308{col 67}{space 3} .0001362
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001321{col 26}{space 2} .0000341{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .0000653{col 67}{space 3} .0001989
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000014}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000347}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0406757}}}{space 1}{space 1}{ralign 8:{res:{sf:0.9675633}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000695}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000667}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_Race5_4 "continuous" "mi"

                         {txt}RAT_Race5_4
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} .1463881              0
{txt}10%    {res} .2372605              0       {txt}Obs         {res}135,582,733
{txt}25%    {res} .4961168              0       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 1.117422                      {txt}Mean          {res} 2.200708
                        {txt}Largest       Std. Dev.     {res} 2.988983
{txt}75%    {res}  2.52559       21.00913
{txt}90%    {res}  5.15511       21.00913       {txt}Variance      {res} 8.934017
{txt}95%    {res}  8.65602       21.00913       {txt}Skewness      {res} 2.837257
{txt}99%    {res} 15.57015       21.00913       {txt}Kurtosis      {res}  12.5286

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_Race5_4}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_Race5_4}{space 5}{txt:=} {space 3}21.00913}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001278{col 26}{space 2} 2.65e-06{col 37}{space 1}   48.14{col 46}{space 3}0.000{col 54}{space 4} .0001226{col 67}{space 3}  .000133
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001735{col 26}{space 2} .0000193{col 37}{space 1}    8.97{col 46}{space 3}0.000{col 54}{space 4} .0001356{col 67}{space 3} .0002114
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000457}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000217}}}{space 1}{space 1}{ralign 8:{res:{sf: 2.1e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0351417}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000032}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000882}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_Race5_5 "continuous" "mi"

                         {txt}RAT_Race5_5
{hline 61}
      Percentiles      Smallest
 1%    {res} .3568469              0
{txt} 5%    {res}  .795982              0
{txt}10%    {res}  1.14643              0       {txt}Obs         {res}135,582,733
{txt}25%    {res} 2.027097              0       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 4.047258                      {txt}Mean          {res} 6.821887
                        {txt}Largest       Std. Dev.     {res}  8.43017
{txt}75%    {res} 8.110949       71.36269
{txt}90%    {res} 14.99624       71.36269       {txt}Variance      {res} 71.06776
{txt}95%    {res} 19.11328       71.36269       {txt}Skewness      {res} 3.211222
{txt}99%    {res}   41.891       71.36269       {txt}Kurtosis      {res} 16.48395

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_Race5_5}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_Race5_5}{space 5}{txt:=} {space 3}71.36269}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001408{col 26}{space 2} 4.50e-06{col 37}{space 1}   31.30{col 46}{space 3}0.000{col 54}{space 4} .0001319{col 67}{space 3} .0001496
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0000928{col 26}{space 2} .0000186{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .0000563{col 67}{space 3} .0001293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000480}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000229}}}{space 1}{space 1}{ralign 8:{res:{sf:-2.1e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0363398}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000929}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000031}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_BornUSA "continuous" "mi"

                         {txt}RAT_BornUSA
{hline 61}
      Percentiles      Smallest
 1%    {res} 62.70366       47.06422
{txt} 5%    {res} 75.50158       47.06422
{txt}10%    {res} 81.22276       47.06422       {txt}Obs         {res}135,582,733
{txt}25%    {res}   89.276       47.06422       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 93.94516                      {txt}Mean          {res} 91.46602
                        {txt}Largest       Std. Dev.     {res} 7.987417
{txt}75%    {res} 96.89728        99.7309
{txt}90%    {res} 98.08357        99.7309       {txt}Variance      {res} 63.79883
{txt}95%    {res}  98.5194        99.7309       {txt}Skewness      {res}-2.036025
{txt}99%    {res} 99.26265        99.7309       {txt}Kurtosis      {res} 7.747763

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_BornUSA}{space 5}{txt:=} {space 3}47.06422}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_BornUSA}{space 5}{txt:=} {space 4}99.7309}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0000875{col 26}{space 2} .0000131{col 37}{space 1}    6.68{col 46}{space 3}0.000{col 54}{space 4} .0000618{col 67}{space 3} .0001132
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001498{col 26}{space 2} 6.33e-06{col 37}{space 1}   23.67{col 46}{space 3}0.000{col 54}{space 4} .0001374{col 67}{space 3} .0001622
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000623}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000193}}}{space 1}{space 1}{ralign 8:{res:{sf: 3.2e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0012535}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000245}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0001001}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_MarStat5_2 "continuous" "mi"

                       {txt}RAT_MarStat5_2
{hline 61}
      Percentiles      Smallest
 1%    {res} 2.957906       1.714519
{txt} 5%    {res} 3.972756       1.714519
{txt}10%    {res} 4.509835       1.714519       {txt}Obs         {res}135,582,733
{txt}25%    {res} 5.559734       1.714519       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 6.761515                      {txt}Mean          {res} 6.704567
                        {txt}Largest       Std. Dev.     {res} 1.648667
{txt}75%    {res} 7.841749       11.84405
{txt}90%    {res} 8.780593       11.84405       {txt}Variance      {res} 2.718104
{txt}95%    {res} 9.424637       11.84405       {txt}Skewness      {res}-.0327279
{txt}99%    {res} 10.50469       11.84405       {txt}Kurtosis      {res}  2.77525

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_MarSta~2}{space 4}{txt:=} {space 3}1.714519}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_MarSta~2}{space 4}{txt:=} {space 3}11.84405}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001389{col 26}{space 2} 5.95e-06{col 37}{space 1}   23.35{col 46}{space 3}0.000{col 54}{space 4} .0001272{col 67}{space 3} .0001505
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .000127{col 26}{space 2} 6.52e-06{col 37}{space 1}   19.48{col 46}{space 3}0.000{col 54}{space 4} .0001142{col 67}{space 3} .0001398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000119}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000122}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.9694387}}}{space 1}{space 1}{ralign 8:{res:{sf:0.3325820}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000359}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000122}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_MarStat5_3 "continuous" "mi"

                       {txt}RAT_MarStat5_3
{hline 61}
      Percentiles      Smallest
 1%    {res} 6.891079       5.235612
{txt} 5%    {res} 7.722857       5.235612
{txt}10%    {res} 8.234858       5.235612       {txt}Obs         {res}135,582,733
{txt}25%    {res} 9.401562       5.235612       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 10.65189                      {txt}Mean          {res} 10.74006
                        {txt}Largest       Std. Dev.     {res} 1.914127
{txt}75%    {res} 12.08289       18.81139
{txt}90%    {res} 13.33138       18.81139       {txt}Variance      {res}  3.66388
{txt}95%    {res} 13.87485       18.81139       {txt}Skewness      {res} .2119803
{txt}99%    {res} 15.27534       18.81139       {txt}Kurtosis      {res} 2.810613

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_MarSta~3}{space 4}{txt:=} {space 3}5.235612}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_MarSta~3}{space 4}{txt:=} {space 3}18.81139}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001253{col 26}{space 2} 3.89e-06{col 37}{space 1}   32.25{col 46}{space 3}0.000{col 54}{space 4} .0001177{col 67}{space 3} .0001329
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001463{col 26}{space 2} 6.80e-06{col 37}{space 1}   21.52{col 46}{space 3}0.000{col 54}{space 4}  .000133{col 67}{space 3} .0001597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000210}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000104}}}{space 1}{space 1}{ralign 8:{res:{sf: 2.0e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0434896}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000006}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000414}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_MarStat5_4 "continuous" "mi"

                       {txt}RAT_MarStat5_4
{hline 61}
      Percentiles      Smallest
 1%    {res} .5794714       .2517118
{txt} 5%    {res} .8603528       .2517118
{txt}10%    {res} 1.034397       .2517118       {txt}Obs         {res}135,582,733
{txt}25%    {res} 1.508482       .2517118       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 2.086036                      {txt}Mean          {res} 2.256889
                        {txt}Largest       Std. Dev.     {res} 1.031968
{txt}75%    {res} 2.864548       6.998906
{txt}90%    {res}  3.65125       6.998906       {txt}Variance      {res} 1.064958
{txt}95%    {res} 4.173747       6.998906       {txt}Skewness      {res} .8185424
{txt}99%    {res} 5.279278       6.998906       {txt}Kurtosis      {res} 3.722398

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_MarSta~4}{space 4}{txt:=} {space 3}.2517118}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_MarSta~4}{space 4}{txt:=} {space 3}6.998906}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001383{col 26}{space 2} 3.69e-06{col 37}{space 1}   37.48{col 46}{space 3}0.000{col 54}{space 4} .0001311{col 67}{space 3} .0001456
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001225{col 26}{space 2} 6.92e-06{col 37}{space 1}   17.69{col 46}{space 3}0.000{col 54}{space 4} .0001089{col 67}{space 3} .0001361
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000158}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000103}}}{space 1}{space 1}{ralign 8:{res:{sf:-1.5e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.1256664}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000361}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000044}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_MarStat5_5 "continuous" "mi"

                       {txt}RAT_MarStat5_5
{hline 61}
      Percentiles      Smallest
 1%    {res} 19.33292       16.65138
{txt} 5%    {res} 21.06569       16.65138
{txt}10%    {res} 22.19825       16.65138       {txt}Obs         {res}135,582,733
{txt}25%    {res} 24.23431       16.65138       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} 27.18444                      {txt}Mean          {res} 28.14833
                        {txt}Largest       Std. Dev.     {res} 5.562704
{txt}75%    {res} 30.88505        55.3223
{txt}90%    {res} 35.50837        55.3223       {txt}Variance      {res} 30.94368
{txt}95%    {res} 38.80957        55.3223       {txt}Skewness      {res} 1.157686
{txt}99%    {res} 45.98981        55.3223       {txt}Kurtosis      {res}  5.05425

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_MarSta~5}{space 4}{txt:=} {space 3}16.65138}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_MarSta~5}{space 4}{txt:=} {space 4}55.3223}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001308{col 26}{space 2} 5.73e-06{col 37}{space 1}   22.82{col 46}{space 3}0.000{col 54}{space 4} .0001195{col 67}{space 3}  .000142
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001391{col 26}{space 2} .0000125{col 37}{space 1}   11.17{col 46}{space 3}0.000{col 54}{space 4} .0001147{col 67}{space 3} .0001636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0000083}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000180}}}{space 1}{space 1}{ralign 8:{res:{sf:0.4635760}}}{space 1}{space 1}{ralign 8:{res:{sf:0.6430615}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000270}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000437}}}{space 1}
{com}.                 {c )-}
.                 if (`model_version' == 3 | `model_version' == 4) {c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_Sex "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_AgeGrp4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_Race5 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_BornUSA "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_MarStat5 "continuous" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2 | `model_version' == 4 | `model_version' == 9 ){c -(}
.                         estimates restore m1
.                         mchange_mi UnEmpl "categorical" "mi"
.                         estimates restore m1
.                         mchange_mi PhysProb "categorical" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2 | `model_version' == 10){c -(}
.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_UnEmpl "continuous" "mi"

                         {txt}RAT_UnEmpl
{hline 61}
      Percentiles      Smallest
 1%    {res} 2.620017       1.248701
{txt} 5%    {res} 3.102586       1.248701
{txt}10%    {res} 3.492546       1.248701       {txt}Obs         {res}135,334,296
{txt}25%    {res} 4.169876       1.248701       {txt}Sum of Wgt. {res}  135334296

{txt}50%    {res} 4.729478                      {txt}Mean          {res} 4.912941
                        {txt}Largest       Std. Dev.     {res} 1.220969
{txt}75%    {res} 5.703343       13.81304
{txt}90%    {res} 6.316464       13.81304       {txt}Variance      {res} 1.490766
{txt}95%    {res} 6.960982       13.81304       {txt}Skewness      {res} 1.046487
{txt}99%    {res} 9.519077       13.81304       {txt}Kurtosis      {res} 6.025744

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_UnEmpl}{space 6}{txt:=} {space 3}1.248701}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_UnEmpl}{space 6}{txt:=} {space 3}13.81304}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0000625{col 26}{space 2} 5.46e-06{col 37}{space 1}   11.45{col 46}{space 3}0.000{col 54}{space 4} .0000518{col 67}{space 3} .0000732
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0008037{col 26}{space 2}  .000169{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0004719{col 67}{space 3} .0011355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:0.0007412}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0001744}}}{space 1}{space 1}{ralign 8:{res:{sf: 4.2e+00}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000237}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0003989}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0010836}}}{space 1}
{com}.                         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                         mchange_mi RAT_PhysProb "continuous" "mi"

                        {txt}RAT_PhysProb
{hline 61}
      Percentiles      Smallest
 1%    {res}  7.31173       6.333176
{txt} 5%    {res} 8.936252       6.333176
{txt}10%    {res} 10.26923       6.333176       {txt}Obs         {res}135,512,366
{txt}25%    {res} 12.62959       6.333176       {txt}Sum of Wgt. {res}  135512366

{txt}50%    {res} 15.52348                      {txt}Mean          {res} 16.03698
                        {txt}Largest       Std. Dev.     {res} 4.749593
{txt}75%    {res} 19.63147       34.07385
{txt}90%    {res} 21.89281       34.07385       {txt}Variance      {res} 22.55864
{txt}95%    {res} 23.28504       34.07385       {txt}Skewness      {res} .5756863
{txt}99%    {res}   30.554       34.07385       {txt}Kurtosis      {res} 3.551975

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,758,097

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,780,162
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,072,984
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0000
{txt}{col 47}Largest FMI{col 65}= {res}      0.0000
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      915.01
{txt}{col 47}        avg{col 65}= {res}      915.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      915.01

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:RAT_PhysProb}{space 4}{txt:=} {space 3}6.333176}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:RAT_PhysProb}{space 4}{txt:=} {space 3}34.07385}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0001374{col 26}{space 2} 5.89e-06{col 37}{space 1}   23.32{col 46}{space 3}0.000{col 54}{space 4} .0001258{col 67}{space 3} .0001489
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0001245{col 26}{space 2} .0000125{col 37}{space 1}    9.95{col 46}{space 3}0.000{col 54}{space 4} .0000999{col 67}{space 3}  .000149
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 8:lincom}{space 1}{space 1}{ralign 8:se}{space 1}{space 1}{ralign 8:zvalue}{space 1}{space 1}{ralign 8:pvalue}{space 1}{space 1}{ralign 8:ll}{space 1}{space 1}{ralign 8:ul}{space 1}
{space 0}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 0}{space 0}{ralign 12:1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:-0.0000129}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000182}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.7087481}}}{space 1}{space 1}{ralign 8:{res:{sf:0.4786609}}}{space 1}{space 1}{ralign 8:{res:{sf:-0.0000487}}}{space 1}{space 1}{ralign 8:{res:{sf:0.0000228}}}{space 1}
{com}.                 {c )-}
.                 if (`model_version' == 4){c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_UnEmpl "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_PhysProb "continuous" "mi"
.                 {c )-}               
.         {c )-}
. {c )-}
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         svy: logit Suic i.St `model_eq', or 
.         estimates store m1 
. 
.         if (`model_version' <= 4 | `model_version' == 7 | `model_version' == 8){c -(}
.                 mchange `margin_demographics', amount(all) delta(100) statistics(all) decimals(7)
.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. if (`model_version' == 5 | `model_version' == 6) {c -(}
.         estimates restore m1
.         margin_interact std_same_prop_Sex Female 5 `model'
.         estimates restore m1
.         margin_interact std_same_prop_AgeGrp4 AgeGrp4 5 `model'
.         estimates restore m1
.         margin_interact std_same_prop_Race5 Race5 5 `model'
.         estimates restore m1
.         margin_interact std_same_prop_BornUSA BornUSA 5 `model'
.         estimates restore m1
.         margin_interact std_same_prop_MarStat5 MarStat5 5 `model'
. 
.         if (`model_version' == 6) {c -(}
.                 estimates restore m1
.                 margin_interact std_same_prop_UnEmpl UnEmpl 5 `model'
.                 estimates restore m1
.                 margin_interact std_same_prop_PhysProb PhysProb 5 `model'
.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. 
. log close 
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/mi_10.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Aug 2020, 01:30:41
{txt}{.-}
{smcl}
{txt}{sf}{ul off}